Improving Precision in Oncology Care
AI Tool PhenMap Predicts Bowel Cancer Treatment Success
Researchers from the ICR and RCSI developed an AI system to identify which patients benefit from targeted drug therapy.
A medical monitor in a laboratory showing genetic data maps and a bowel anatomy model used for cancer treatment prediction.
Photo: Avantgarde News
Researchers at the Institute of Cancer Research and RCSI have developed a new AI tool called PhenMap [1][2]. This system predicts how patients with advanced bowel cancer will respond to the targeted drug bevacizumab [1][3]. By analyzing complex genetic and clinical data, the tool identifies individuals for whom the treatment might fail [1][2]. This breakthrough allows doctors to tailor treatments more effectively for each patient [2]. By identifying ineffective therapies early, the system spares patients from unnecessary side effects [3]. The development represents a significant step forward in using artificial intelligence to improve precision medicine [1][2].
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Sources
- 1.↗
theguardian.com
https://www.theguardian.com/society/2026/apr/13/ai-bowel-cancer-patients-nhs-drug
- 2.↗
icr.ac.uk
https://www.icr.ac.uk/about-us/icr-news/detail/scientists-develop-new-way-to-determine-which-patients-will-respond-best-to-bowel-cancer-treatment
- 3.↗
pharmaphorum.com
https://pharmaphorum.com/news/ai-could-spare-bowel-cancer-patients-unneeded-treatment
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Avantgarde News Desk covers improving precision in oncology care and editorial analysis for Avantgarde News.